research methods Flashcards

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1
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A
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2
Q

Define ‘Ethical Guidelines’

A

Codes of practice that are designed to be followed as a guide by people involved in psychological research

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3
Q

What are 4 roles of the Ethics Committee?

A
  1. Review and monitor research proposals
  2. Ensure guidelines are met and adhered to before and during the conduct of research
  3. Decide whether there are similar studies
  4. Decide whether risk to participant welfare outweighs any benefit research would give society
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4
Q

Explain ‘Protection from harm’

A

Protect physical and psychological wellbeing e.g. debriefing study at the end

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5
Q

Explain ‘Informed consent’

A

If under 18, legal guardian must give written consent
Consent must include purpose, procedure, withdrawal rights, how and what info is stored, potential risks, what participant is required to do

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6
Q

Explain ‘Withdrawal rights’

A

Right of participant to end participation at any time, have their results removed at any time

Without pressure or penalty

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7
Q

Explain ‘Confidentiality’

A

Info stored in secure manner and disposed when no longer required.
HOW the information is stored

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8
Q

If participant wishes to share their study information, what do they need to do?

A
  1. Identify as ‘Participant X’
  2. Complete written consent
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9
Q

Explain ‘Privacy’

A

Only relevant information is to be used.
WHAT information is used.

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10
Q

Explain ‘Voluntary participation’

A

Choosing to participate without bribery or coercion. Cannot be at risk of failing course if do not take part.

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11
Q

Explain ‘Deception’

A

Lying about true nature of study so results are not affected.

If it causes risks to outweigh potential benefit, it should not be used

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12
Q

Explain ‘Debriefing’ and what MUST be included during debriefing.

A

Explanation at conclusion of study.
- Deception is described
- Reasons for deception
- Given oppurtunity to ask questions and express opinions
- Advised of provision for extra support

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13
Q

Define ‘Refinement’ in animal research

A

Minimise potential distress or pain in animals

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14
Q

Define ‘Reduction’ in animal research

A

More information from the same/less number of animals used.

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15
Q

Define ‘Replacement’ in animal research

A

Eliminate need for animal research

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16
Q

What are strengths of experimental research designs?

A
  • Researchers control variable
  • Cause and effect relationship
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17
Q

What are limitations of experimental research designs?

A
  • Controlled environment = lacks realism and may impact participant behaviour
  • Human error risk when controlling variables
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18
Q

What are strengths of non-experimental research designs?

A
  • Natural observations = controlled setting doesn’t have to be created
  • Allows research where IV manipulation is unethical
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19
Q

What are limitations of non-experimental research designs?

A
  • No reliable casual connections
  • No cause and effect
  • Larger sample size is needed
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20
Q

Explain ‘Observational’ research design

A

Monitoring participants to study behaviour

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21
Q

What are the strengths of ‘Observational’ research design?

A
  • Can be replicated by other researchers
  • More likely to behave naturally
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22
Q

What are the limitations of ‘Observational’ research design?

A
  • May change behaviour if aware of being observed
  • Observer bias may occur
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23
Q

Explain ‘Case study’ research design and why it is applied to certain people.

A

In-depth investigation of an individual person, group, or single event

Cannot be repeated ethically as it caused _____ to participant (such as harm)

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24
Q

What are the strengths of ‘Case study’ research design?

A
  • Detailed information
  • Information is gathered from range of perspectives
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25
Q

What are the limitations of ‘Case study’ research design?

A
  • Results cannot be generalised to the population the sample was taken from
  • Limited conclusions due to lack of formal control groups
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26
Q

Explain ‘Correlational’ research design

A

Measures the linear relationship between two variables

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27
Q

What are the strengths of ‘Correlational’ research design?

A
  • Potential hypothesis based on correlation can be tested using experimental design
  • Can be used when manipulating variables in experimental research is unethical
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28
Q

What are the limitations of ‘Correlational’ research design?

A
  • Correlations do not show how variables are related
  • Extraneous variables are not controlled
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29
Q

Explain ‘Longitudinal’ research design?

A

Data collected more than once, using the same participants

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30
Q

What are the strengths of ‘Longitudinal’ design?

A
  • Developmental trends can be studied over a lifetime
  • Frequency, timing, or duration of events can be assessed
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31
Q

What are the limitations of ‘Longitudinal’ design?

A
  • Takes longer time to get results than with cross-sectional
  • Participants may drop out along the way
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32
Q

Explain ‘Cross-sectional’ research design

A

Data is collected at one point in time

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33
Q

What are the strengths of ‘Cross-sectional’ design?

A
  • Quicker to conduct
  • Costs less to conduct than longitudinal
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34
Q

What are the limitations of ‘Cross-sectional’ design?

A
  • Results may differ if another time for collecting data was chosen
  • Sample size may not be large enough to generalise results
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35
Q

Define ‘Population’

A

The entire group of people that is of interest to a researcher

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36
Q

Define ‘Sample’

A

Subsection of the population

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37
Q

Define ‘Sampling’

A

Process of selecting participants from a population of research to be used in the study

38
Q

Explain ‘Convenience sampling’

A

Participants who are easily accessible to be selected

39
Q

What are the strengths of ‘Convenience sampling’

A
  • Low effort and time
  • Low costs
40
Q

What are the limitations of ‘Convenience sampling’

A
  • High level of researcher bias as participants are subjectively selected
  • Lacks generalisability
41
Q

Explain ‘Snowball sampling’

A

Initial participants chosen then each participant is encouraged to contact others to join study

42
Q

What are the strengths of ‘Snowball sampling’

A
  • Sample would otherwise be difficult to recruit
  • Less time to gather recruits
43
Q

What are limitations of ‘Snowball sampling’

A
  • Lacks generalisability
  • May be bias
44
Q

Explain ‘Random sampling’

A

Names randomly selected by drawing out of hat/computer generated program

45
Q

What are the strengths of ‘Random Sampling’

A
  • Bias is minimised
  • Equal chance for each participant to be in sample
46
Q

What are the limitations of ‘Random Sampling’

A
  • Time consuming
  • Lacks generalisability
47
Q

Explain ‘Stratifies Sampling’

A

Participants from each subgroup are randomly selected in same proportions they appear in the population

48
Q

What are the strengths of ‘Stratified sampling’

A
  • Likely to be representative of population
  • Bias is minimised
49
Q

What are the limitations of ‘Stratified Sampling’

A
  • Time and effort is high
  • Researchers may struggle to classify each participants of population into subgroups
50
Q

Explain ‘Random allocation’

A

Random distribution of participants into experimental and control groups to reduce researcher bias and increase generalisability of results

51
Q

What are the strengths of ‘Random allocation’

A
  • Allows generalisability
  • Prevents selection bias
52
Q

What are the limitations of ‘Random Allocation’

A
  • Cannot be used when IV is not manipulated
  • Group equality is not guaranteed
53
Q

Define ‘Participant variables’

A

Type of extraneous variables relating to individual characteristics of participants

54
Q

How do you control participant variables?

A
  • Ensure participants selected for sample have similar characteristics suitable for study
  • Random allocation
55
Q

Define ‘Environmental variables’

A

Extraneous variable relating to the environment the study takes place in AND how affects participants

56
Q

Define ‘Researcher variables’

A

Extraneous variables relating to the personality characteristics, appearance and conduct of the researcher that unintentionally impact participant responses

57
Q

Define ‘Confounding variables’

A

Variables that impact the dependent variable and also have a causal or correlational relationship with the IV

58
Q

Explain the ‘Experimenter Effect’

A

The expectations of behaviours of the researcher that may bias results

59
Q

What is an example of how to avoid experimenter effects?

A

Running double blind procedure where researcher and participants are unaware of the experimental conditions - reduces experimenter effects

60
Q

Explain ‘Demand characteristics’

A

Cues participants perceive during a study that lead them to believe they have discovered the aim of the study or expectations of the researcher

61
Q

Give 3 examples of how to minimise the effects of variables

A
  1. Random allocation of participants
  2. Single blind procedure
  3. Standardisation of procedures and instructions
62
Q

Explain ‘Random allocation of participants’

A

Participants characteristics and traits are spread over both experimental and control group.

Ensures the dependent variable is a results of the IV and not participant characteristics

63
Q

Explain ‘Single blind procedure’

A

Experimenter is aware of the experimental conditions while participants are unaware

Helps control demand characteristics

64
Q

Explain ‘Standardisation of procedures and instructions’

A

Environment variables can be minimised by providing the same location and conditions for all participants

Avoids confounding variables as all conditions identical

65
Q

What is the independent variable?

A

Independent variable causes an effect on the dependent variable. (E.g. hours of sleep you get)

66
Q

What is the dependent variable?

A

Variable that changes as a result of the independent variable. (E.g. grade on a test)

67
Q

What is qualitative data?

A

Descriptive information in form of words

68
Q

What is quantitative data?

A

Information in the form of numbers

69
Q

Name 3 types of interviews in qualitative data collection

A
  1. Structured interviews
  2. Semi-structured interviews
  3. Open-ended interviews
70
Q

Name 3 examples of objective physiological measures in quantitative data collection

A
  • Heart rate
  • Breathing rate
  • Galvanic skin response
71
Q

Name 2 examples of subjective quantitative data collection

A
  • Checklist
  • Rating scale (Likert)
72
Q

Explain the difference between subjective and objective data collection

A

Subjective is data based on personal opinions or judgments, objective is data based on facts that can be measured or observed

73
Q

Explain mixed methods in data collection

A

Where qualitative and quantitative collected from participants in the same study

74
Q

What is the measures of central tendency?

A

Mean and median. Descriptive statistic that produce the average

75
Q

Define Pearson’s correlation coefficient

A

The strength and direction of a linear relationship showed in numerical form

76
Q

Define evidence based conclusion

A

A conclusion derived from objective evidence, such as research from credible sources

77
Q

Define validity

A

The degree to which a measurement tool evaluated what it is designed to measure

78
Q

Define reliability

A

The degree to which a measurement tool produces consistent results

79
Q

Define generalisability

A

The extent to which the results gathered from a sample in research can be applied to other situations

80
Q

What are 2 strengths of objective physiological measures?

A
  1. Limited risk of participant bias
  2. Measures can be recorded in real-time
81
Q

What are 2 limitations of objective physiological measures?

A
  1. Factors such as heat or exercise can affect the measurement
  2. Anxiety in participants may occur when measure is being taken
82
Q

What are 2 strengths of subjective measures?

A
  1. Can be statistically analysed
  2. Large sample size may result in relatively short measure time
83
Q

What are 2 limitations of subjective measures?

A
  1. Responses are limited to options provided
  2. Does not allow participants to give reasons for their responses
84
Q

Contrast sample data and population data

A

Sample data is collected from a small sample group, whereas population data is collected from the whole population

85
Q

Why do the bars touch in histograms?

A

Because data is continuous

86
Q

Outline two reasons why research can be named correlational

A
  1. A relationship between 2 variables is being investigated
  2. No cause and effect relationship
87
Q

List three possible relationships for any two variables assessed in correlational research

A
  1. Positive
  2. Negative
  3. No relationship
88
Q

When is it appropriate to use a bar graph?

A

When data is discrete

89
Q

When is it appropriate for deception to be used in research?

A

When there is no other alternative to achieve the aim of the experiment.

90
Q

Why are participant variables reduced?

A

To remove possibility of results being affected by participant variables.

91
Q

Describe 5 features of an experimental research design

A
  • Establishes casual relationship between variables
  • Systematic/scientific process
  • Tests impact of independent variable
  • On dependent variables
  • With a high level of control of extraneous variables
92
Q

Explain ‘Non-experimental’ research designs

A

IV cannot be manipulated
No cause and effect relationship
No random allocation